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Healthcare

Stanford Health Care cardiologist views eight live data screens in AR during ablation

A single atrial fibrillation ablation at Stanford Hospital in February 2024; the physician resized and moved the virtual monitors by eye and pinch.

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A cardiac electrophysiologist wearing a mixed reality headset while working beside a patient in an operating room at Stanford Hospital.
Alexander Perino using the Apple Vision Pro in an operating room at Stanford Hospital.Photo: Fred Hizal

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Stanford Health Care put a wearable mixed reality headset into a working cardiac electrophysiology lab as a reconfigurable stand-in for the wall of physical monitors that surrounds an ablation. In late February 2024, with the patient's informed consent, cardiac electrophysiologist Alexander Perino, MD, wore the headset throughout an atrial fibrillation ablation at Stanford Hospital in Stanford, California. Stanford Medicine described the team as among the first to integrate an augmented reality tool of this kind into surgical practice.

An ablation is guided by several simultaneous live data streams: a real-time, anatomically accurate representation of the patient's heart and of the catheter being used to treat the tissue causing the arrhythmia, plus ultrasound images, X-ray imaging and the patient's vital signs. Perino says there can be up to eight such screens, and an operating room rarely has the space to place them all where the operator can comfortably see them. On conventional systems the operator also cannot manipulate the data directly, so a staff member has to do it for them.

The headset receives those feeds as secured real-time data from a workstation and presents them as virtual monitors positioned around the room. The wearer can still see the patient and the operating room as normal. Eye tracking tells the system where his attention is, and a pinch of the fingers or a quick hand movement lets him zoom into a stream, enlarge a monitor or move it to a more ergonomic position without asking anyone for help.

The deployment was deliberately additive rather than a substitution. The conventional monitors stayed in place, and the surgical team watched a mirror of what Perino was seeing through the headset on ordinary screens. Stanford Health Care's biomedical engineering and health information technology teams, part of Stanford Medicine's Technology and Digital Solutions group, adapted the off-the-shelf device for the hospital's interventional platform.

Stanford has kept presenting the work rather than shelving it: the Department of Medicine's 2025 annual report and a video published on the department's own channel in October 2025 describe the same setup, and clinicians there are exploring whether the three-dimensional heart model could be registered onto the patient's body itself, and whether the system could serve education and training. Stanford has not reported a wider rollout, a second site, or a count of subsequent procedures, so the record stands as a pilot.

Quotes

There can be up to eight screens that depict distinct real-time data, with insufficient real estate in an operating room for these screens to be conveniently located and the data on them reviewed. Current systems do not allow for surgeons and proceduralists to interact with the data directly, requiring staff members to assist with data manipulation and processing, which can be inefficient.

I can independently move the virtual monitors to a more ergonomic position, then make it twice as big and easier to see.

I can scale images to any size, move them around the room, and access vital information without the distraction of multiple physical screens.

At Stanford Health Care, we've designed our interventional platform and operating rooms to be ready for the latest innovations. Spatial computer vision has tremendous potential to enhance the surgical environment.

We have incredible biomedical engineering and health information technology teams that took a novel off-the-shelf technology and adapted it to test new big ideas.

What if we could actually just take the three-dimensional model and put it in the patient where the heart actually is?

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